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  • Informatica Data Quality 10.4.0
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Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Creating a Library

Creating a Library

Create a Library object on the Data Transformation
Objects
 view. Select the message type, component and name. Optionally, you can define a sample message type source file that you can use to test the Library object.
Before you create a Library in the Data Processor transformation, install the library software package on your computer.
  1. In the Data Processor transformation
    Objects
     view, click
    New.
  2. Select Library and click
    Next.
  3. Browse to select the message type.
  4. Choose to create a Parser or Serializer.
    Create a Parser if the Library object input is a message type and the output is XML. Create a Serializer if the Library object input is XML and the output is a message type.
  5. If the Library is the first component to process data in the Data Processor transformation, enable
    Set as startup component
    .
    Click
    Next.
  6. If you have a sample message type source file that you can use to test the Library with, browse for and select the file from the file system.
    You can change the sample file.
  7. Click
    Finish
    .
    The Developer tool creates a view for each message type that you create. Click the view to access the mapping.
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